Variational Methods in Image Processing

Variational Methods in Image Processing

Luminita A. Vese (Author), Carole Le Guyader (Author)
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Variational Methods in Image Processing presents the principles, techniques, and applications of variational image processing. The text focuses on variational models, their corresponding Euler-Lagrange equations, and numerical implementations for image processing. It balances traditional computational models with more modern techniques that solve t

Kategori:
Science (General)
Tahun:
2015
Edisi:
1
Penerbit:
Chapman and Hall/CRC
Bahasa:
english
ISBN 10:
1439849749
ISBN 13:
9781439849743
File:
PDF, 17.13 MB
IPFS:
CID , CID Blake2b
english, 2015
Mengunduh (pdf, 17.13 MB)
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    Istilah kunci

     
    variational
    processing
    methods
    figure
    segmentation
    function
    noise
    numerical
    regularization
    boundary
    functions
    method
    φ1
    models
    minimization
    φ2
    shah
    equations
    euler
    lagrange
    mumford
    initial
    restoration
    active
    obtained
    defined
    bounded
    gradient
    piecewise
    contour
    nonlocal
    theorem
    total
    equation
    hǫ
    nonlinear
    algorithm
    minimizer
    topology
    contours
    ϕ
    finite
    gaussian
    consider
    elasticity
    linear
    norm
    presented
    deformation
    noisy
    zero
    convex
    vector
    assume
    denoising
    mstv
    proposed
    φ0
    approximations
    values

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